Tag: AI
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The AI Boardroom Playbook – Approve Thoughtfully, Avoid Disaster
Boards can’t blame the algorithm when AI goes wrong. Courts want human accountability. This guide shows how to govern AI projects without killing innovation—fix accountability, make oversight real, and distinguish between recoverable mistakes and catastrophic failures.
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Cyber Risk is Business Risk: Why Security Belongs in the Boardroom
Cybersecurity is not a technical issue but a board-level ethical responsibility. Organisations make a promise to protect the data they collect, and failing to do so erodes trust, damages reputation, and creates strategic risk. Strong governance, honest risk decisions, and a security-driven culture are essential for leadership.
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The Emperor’s New Algorithm
Many vendors exaggerate or fabricate their use of AI, putting buyers at legal and operational risk. From false automation claims to failed “AI” safety systems, the costs are real. Regulators are cracking down, so buyers must demand technical evidence, measurable performance, and contracts that clearly assign liability and exit rights.
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Cyber Risk Appetite – The Strategic Decision Every Board Must Master
Setting a cyber risk appetite is a critical boardroom activity, defining how much risk a business can tolerate. Moving beyond technical metrics, boards must align cybersecurity with strategic goals using frameworks like NIST and MITRE ATT&CK. Clear governance and realistic stress-testing ensure resilience, fostering trust and competitive advantage.
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AI’s Causal Illusion: A Hidden Threat to Business Decisions
LLMs simulate causal reasoning by recalling patterns from their training data, not by understanding cause and effect. This leads to a significant business risk: AI recommendations may seem confident but are often flawed, particularly in novel situations.
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